Open AccessLibrary Bibliographic Classification as a traditional knowledge organization system in the linked open data environment
Author(s) -
Olga Lavrenova,
В Г Павлов
Publication year - 2017
Publication title -
naučnye i tehničeskie biblioteki
Language(s) - English
Resource type - Journals
eISSN - 2686-8601
pISSN - 1027-3689
DOI - 10.33186/1027-3689-2017-4-44-60
Subject(s) - linked data , computer science , simple knowledge organization system , information retrieval , library classification , semantic web , world wide web , subject (documents) , knowledge organization , subject access , task (project management) , data science , rdf , sparql , management , economics
The task of the project is to introduce classification knowledge model as Linked Open Data, LOD, and to provide access to it from Semantic Web through standard network instruments. The reviewed system of RSL systematic catalog (Library Bibliographic Classification) subject divisions is accepted as a source for classification knowledge model The authors examine SKOS-based data structure and the software. Operation principles in terms of the search in e-library catalog and RSL traditional collections are discussed.